Stanford Researchers Win ICML 2024 Best Paper Award for Discrete Diffusion Modeling

Jul 11, 2026

Aaron Lou, Chenlin Meng, and Stefano Ermon from the Stanford AI Lab received an ICML 2024 Best Paper Award for their work on discrete diffusion modeling by estimating the ratios of the data distribution. Their achievement was recognized by the Stanford AI Lab.

Why it matters: This recognition highlights significant advances in discrete diffusion models, which are important for generating high-quality discrete data such as text and graphs.

Full story at: Stanford AI Lab ↗